Study on the Application of the Theory of Rough Sets to Text Excavation
Dali Yin, Yan Yan
Available Online March 2014.
- https://doi.org/10.2991/icieac-14.2014.26How to use a DOI?
- rough set; data excavation; text excavation; attribute reduction; correlation rules
- The rough set theory is a new calculation which deduces the concept categorization rules through attribute reduction with the categorization capacity remaining unchanged, and has wide application to data excavation and text excavation. This paper focuses on the analysis and improvement of the application of the rough set theory to text excavation, embracing the two aspects of attribute reduction based on clear matrix and correlation rules based on the Apriori algorithm. Compared with the classic algorithms, the improved algorithm can cut down a great deal on the expenditure of time and space in its operation, and improves considerably in its performance of processing the large-scale text database excavation. This research result has great theoretical significance to the application of the rough set theory and its algorithm to text excavation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Dali Yin AU - Yan Yan PY - 2014/03 DA - 2014/03 TI - Study on the Application of the Theory of Rough Sets to Text Excavation BT - 2nd International Conference on Information, Electronics and Computer PB - Atlantis Press SP - 117 EP - 120 SN - 1951-6851 UR - https://doi.org/10.2991/icieac-14.2014.26 DO - https://doi.org/10.2991/icieac-14.2014.26 ID - Yin2014/03 ER -